The Auxiliary Role of Large Language Models in Clinical Dialogues

Abstract

In recent years, large language models (LLMs) have made significant progress in natural language processing (NLP). These models not only perform well in a variety of language tasks but also show great potential in the medical field. This paper aims to explore the application of LLMs in clinical dialogues, analyzing their role in improving the efficiency of doctor-patient communication, aiding in diagnosis and treatment, and providing emotional support. The paper also discusses the challenges and limitations of the model in terms of privacy protection, ethical issues, and practical applications. Through comprehensive analysis, we conclude that applying LLMs in clinical dialogues is promising. However, it requires careful consideration and caution by practitioners in practice.

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